Senior Data Engineer (Databricks)

A career in our Managed Services team will provide you an opportunity to collaborate with a wide array of teams to help our clients implement and operate new capabilities, achieve operational efficiencies, and harness the power of technology. We are seeking a highly skilled and experienced Senior Databricks Engineer to join our team. This role offers an exciting opportunity for a seasoned professional who is proficient in Databricks technologies and passionate about leveraging data to drive business outcomes. Responsibilities: Participate in the design, implementation, and optimization of Databricks solutions to meet business requirements and objectives. Collaborate with cross-functional teams to define data architecture, pipelines, and workflows that support data-driven decision-making. Design and develop scalable and efficient data processing solutions, leveraging the full capabilities of Databricks platform. Conduct performance tuning and optimization of Databricks clusters and jobs to ensure optimal performance and resource utilization. Requirements: Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred. Proven track record of expertise in Databricks technologies, with significant experience in senior-level engineering roles. Deep understanding of big data concepts and technologies, including data lakes, streaming data processing, ETL process and distributed computing. Experience in designing and implementing complex data architectures and pipelines using Databricks and related tools. At least 4 years of experience working with Databricks and ETL process. Advanced English Level. Our job offer has benefits above the law and a life and career path that will help you achieve your professional and personal goals.

Location: México, MX

Posted Date: 6/9/2025